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We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
v1v2v3 (latest)

We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature

IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
9 June 2021
Binxiu Liang
Jiachun Li
Jianjun Huang
Bin Liang
    AAML
ArXiv (abs)PDFHTML

Papers citing "We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature"

4 / 4 papers shown
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding
  Attacks via Patch-agnostic Masking
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic MaskingIEEE Symposium on Security and Privacy (IEEE S&P), 2022
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
417
40
0
03 Feb 2022
SoK: Anti-Facial Recognition Technology
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
278
19
0
08 Dec 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches
  for Any Image Classifier
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
Chong Xiang
Saeed Mahloujifar
Prateek Mittal
VLMAAML
324
102
0
20 Aug 2021
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
824
17,410
0
25 Dec 2016
1
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